Query the full BC K-12 curriculum: Big Ideas, Competencies, Content, and more.

Academic Search Mcp Server

No CVEs22D

Academic Paper Search MCP Server for Claude Desktop integration. Allows Claude to access data from Semantic Scholar and Crossref.

Search arXiv, fetch paper metadata, and read full-text content. STDIO & Streamable HTTP.

Shared knowledge base for AI agents. Semantic search across agents, no setup required — just a URL.

Shared knowledge base for AI agents. Search and contribute solutions to technical problems.

Onenote Mcp Server

No CVEs22D

Complete OneNote MCP Server for Claude Desktop - Access your entire OneNote knowledge base through AI with robust authentication and full API support

Connect AI assistants to Dashform — build and manage AI-powered forms, funnels, quizzes.

Project Nova

No CVEs21D

A multi-agent AI architecture that connects 25+ specialized agents through n8n and MCP servers. Project NOVA routes requests to domain-specific experts, enabling control of applications from knowledge bases to DAWs, home automation to development tools. Includes system prompts, Dockerfiles, and workflows for a complete AI assistant ecosystem.

Compare flashcard apps, spatial memory science, and aphantasia learning guides.

Wikiviews MCP — wraps the Wikimedia Pageviews API (free, no auth)

Wikifeed MCP — wraps Wikimedia Feed API (free, no auth)

OpenAlex MCP — wraps the OpenAlex API (scholarly works, free, no auth)

Memories With Lessons Mcp Server

No CVEs20D

I enhance the existing memory mcp server from the official mcp github, so big thanks and credits for creating this

WikipediaMcpServer

No CVEs20D

.NET/C# Wikipedia MCP Server

Pronunciation scoring, speech-to-text, and text-to-speech for language learning

30+ academic research tools. Semantic Scholar, arXiv, PubMed, bioRxiv, CrossRef, IACR.

Mcp Server For Revit Dotnet

No CVEs20D

This is a mcp project by using c# full stack, also is a tutorial about how to use mcp in revit

Simple MCP Server With Python

No CVEs19F

The Model Context Protocol (MCP) is a standardized way to supply context to large language models (LLMs). Using the MCP Python SDK, you can build servers that expose data (resources), functionality (tools), and interaction templates (prompts) to LLM applications in a secure and modular fashion. In this tutorial, we’ll build a simple MCP server in P

Mcp Semantic Scholar Server

No CVEs19F

MCP server for Semantic Scholar to search for papers